It was a lecture where I could systematically learn about Multi-LLM architecture and Agent-based AI system design. It was great to experience structures close to actual services through hands-on practice, such as Orchestrators, Workflow patterns, and quality evaluation loops, rather than just simple LLM utilization. I think this is a helpful lecture for developers interested in AI backend architecture!!

bum0107

This course is an advanced program focused on designing Multi-LLM architectures and orchestration-centered Agent systems by strategically combining GPT, Gemini, and LLaMA based on Spring AI.
Moving beyond simple LLM calls, you will implement scalable, stable, and continuously improving AI systems by applying Workflow Patterns and Multi-Agent structures.
Furthermore, the course covers Circuit Breakers, Reactive Streams, Redis monitoring, parallel processing, and iterative evaluation loops to complete your capability in designing production-grade AI architectures.
The ultimate goal is to grow into a developer who can design AI systems, rather than just being an AI user. 🚀

tootoo

얼리버드 할인

Spring AI Multi-LLM Architecture and Orchestration-focused Agent System

실습 중심

ai in practice

AI 활용법

SpringAI

springai

springboot

SpringBoot

입문

초급

중급이상

스프링부트

Spring Boot

gemini

챗지피티

ChatGPT

spring ai

Spring AI

1⃣ Setting up Spring AI development environment and Multi-LLM environment in SpringBoot

2️⃣ Multi LLM Architecture

3️⃣ Applying Agentic Workflow Patterns

4⃣Chapter 3. Orchestrated Multi-Agent Systems